WE-ACT 对比 Autoflow by DN 的使用情况和统计数据

The WE-ACT app is designed to promote better communication between cancer patients and their employers and between cancer patients and their healthcare teams. This app contains helpful information for cancer patients to use during and after treatment. Victoria Blinder, MD, MSc, is a board certified medical oncologist at Memorial Sloan Kettering Cancer Center with a practice that is dedicated to the treatment of patients with cancer. Her research focuses on understanding and addressing disparities in cancer outcomes. She is the primary investigator of the WE-ACT Study, which tests an early version of this mobile health app designed to help cancer patients keep their jobs during and after treatment. Medical Disclosure: This mobile application (“App”) is operated by Memorial Sloan Kettering Cancer Center (“MSK”) and is intended only for users who consented to take part in the research study named Talking to Employers and Medical Staff About Work (WE-ACT). THIS APP IS NOT TO BE USED AS A SUBSTITUTE FOR MEDICAL ADVICE, DIAGNOSIS, OR TREATMENT OF ANY HEALTH CONDITION OR PROBLEM. ANY QUESTIONS REGARDING YOUR OWN HEALTH SHOULD BE ADDRESSED TO YOUR OWN PHYSICIAN OR OTHER HEALTHCARE PROVIDER. The App may contain links to external websites or mobile applications that are not owned or operated by MSK (the “External Content”). MSK does not control External Content and we are not responsible for the content or performance of those sites. A link to External Content does not imply any agreement with or endorsement of the External Content or any association with the owner or operators of the External Content. You are responsible for viewing and abiding by the terms and conditions of use and the privacy statements of the External Content.
  • Apple 应用商店
  • 免费
  • 医疗

商店排名

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Use Autoflow to convert medical dictation to notes. Built-in automatic document flow management for multi-party approval and routing. Automatically converts dictation to written notes for easy editing, routing, and EHR updates. Use specific templates to populate from dictation or previous notes. Machine Learning models continuously learn from new documents and get better as more data is collected. Templates can be customized for various specialties and models are trained to populate information from the speech and prior records. All notes and documents are available on the web-based portal and are stored in HIPPA compliant encrypted storage in the cloud.
  • Apple 应用商店
  • 免费
  • 医疗

商店排名

- -

WE-ACT与Autoflow by DN排名比较

对比 WE-ACT 与 Autoflow by DN 在过去 28 天内的排名趋势

排名

没有可用的数据

WE-ACT 对比 Autoflow by DN 的排名,按国家/地区比较

对比 WE-ACT 与 Autoflow by DN 在过去 28 天内的排名趋势

无数据可显示

通过免费试用版比较任何网站

开始使用
WE-ACT VS.
Autoflow by DN

一月 1, 2025